A retinal circuit model accounting for wide-field amacrine cells |
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Authors: | Murat Sağlam Yuki Hayashida Nobuki Murayama |
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Institution: | (1) Department of Human and Environmental Informatics, Graduate School of Science and Technology, Kumamoto University, 2-39-1 Kurokami , Kumamoto 860-8555, Japan |
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Abstract: | In previous experimental studies on the visual processing in vertebrates, higher-order visual functions such as the object
segregation from background were found even in the retinal stage. Previously, the “linear–nonlinear” (LN) cascade models have
been applied to the retinal circuit, and succeeded to describe the input-output dynamics for certain parts of the circuit,
e.g., the receptive field of the outer retinal neurons. And recently, some abstract models composed of LN cascades as the
circuit elements could explain the higher-order retinal functions. However, in such a model, each class of retinal neurons
is mostly omitted and thus, how those neurons play roles in the visual computations cannot be explored. Here, we present a
spatio-temporal computational model of the vertebrate retina, based on the response function for each class of retinal neurons
and on the anatomical inter-cellular connections. This model was capable of not only reproducing the spatio-temporal filtering
properties of the outer retinal neurons, but also realizing the object segregation mechanism in the inner retinal circuit
involving the “wide-field” amacrine cells. Moreover, the first-order Wiener kernels calculated for the neurons in our model
showed a reasonable fit to the kernels previously measured in the real retinal neuron in situ. |
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Keywords: | Circuit model Vertebrate retina Amacrine cells Wiener kernel Visual function |
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